Overview

Brought to you by YData

Dataset statistics

Number of variables	26
Number of observations	5004
Missing cells	34413
Missing cells (%)	26.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.1 MiB
Average record size in memory	857.6 B

Variable types

Text	3
Categorical	15
Numeric	5
Unsupported	3

Alerts

`cant_noAutenticado` has constant value "1.0"	Constant
`cant_MontoLimite` has constant value "1.0"	Constant
`Cluster_6` has constant value "6"	Constant
`Estado` is highly overall correlated with `periodo_preinscripcion`	High correlation
`TipoSocietario` is highly overall correlated with `periodo_preinscripcion`	High correlation
`anio_preinscripcion` is highly overall correlated with `antiguedad` and 1 other fields	High correlation
`antiguedad` is highly overall correlated with `anio_preinscripcion` and 1 other fields	High correlation
`cant_Apoderado` is highly overall correlated with `cant_representante` and 2 other fields	High correlation
`cant_autenticado` is highly overall correlated with `cant_representante` and 2 other fields	High correlation
`cant_procesos_adjudicado` is highly overall correlated with `monto_total_adjudicado`	High correlation
`cant_representante` is highly overall correlated with `cant_Apoderado` and 3 other fields	High correlation
`cant_sinMontoLimite` is highly overall correlated with `cant_Apoderado` and 3 other fields	High correlation
`cant_socios` is highly overall correlated with `periodo_preinscripcion`	High correlation
`dtotal_articulos_provee` is highly overall correlated with `periodo_preinscripcion`	High correlation
`monto_total_adjudicado` is highly overall correlated with `cant_procesos_adjudicado`	High correlation
`periodo_preinscripcion` is highly overall correlated with `Estado` and 10 other fields	High correlation
`provincia` is highly overall correlated with `periodo_preinscripcion`	High correlation
`Estado` is highly imbalanced (58.0%)	Imbalance
`TipoSocietario` is highly imbalanced (54.5%)	Imbalance
`cant_Apoderado` is highly imbalanced (96.7%)	Imbalance
`cant_representante` is highly imbalanced (75.3%)	Imbalance
`cant_autenticado` is highly imbalanced (94.3%)	Imbalance
`cant_sinMontoLimite` is highly imbalanced (93.1%)	Imbalance
`Estado` has 99 (2.0%) missing values	Missing
`TipoSocietario` has 99 (2.0%) missing values	Missing
`antiguedad` has 99 (2.0%) missing values	Missing
`cant_socios` has 3577 (71.5%) missing values	Missing
`cant_apercibimientos` has 5004 (100.0%) missing values	Missing
`cant_suspensiones` has 5004 (100.0%) missing values	Missing
`cant_antecedentes` has 5004 (100.0%) missing values	Missing
`cant_Apoderado` has 222 (4.4%) missing values	Missing
`cant_representante` has 4849 (96.9%) missing values	Missing
`cant_autenticado` has 99 (2.0%) missing values	Missing
`cant_noAutenticado` has 4988 (99.7%) missing values	Missing
`cant_sinMontoLimite` has 99 (2.0%) missing values	Missing
`cant_MontoLimite` has 5003 (> 99.9%) missing values	Missing
`total_articulos_provee` has 99 (2.0%) missing values	Missing
`dtotal_articulos_provee` has 99 (2.0%) missing values	Missing
`CUIT` has unique values	Unique
`cant_apercibimientos` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`cant_suspensiones` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`cant_antecedentes` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`periodo_preinscripcion` has 99 (2.0%) zeros	Zeros
`antiguedad` has 761 (15.2%) zeros	Zeros

Reproduction

Analysis started	2025-06-30 18:10:50.279952
Analysis finished	2025-06-30 18:10:55.131052
Duration	4.85 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

CUIT
Text

Unique

Distinct	5004
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	371.2 KiB

Length

Max length	16
Median length	11
Mean length	10.961831
Min length	3

Characters and Unicode

Total characters	54853
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5004 ?
Unique (%)	100.0%

Sample

1st row	27236909900
2nd row	30569211685
3rd row	30708415487
4th row	30708538317
5th row	20082883240

Value	Count	Frequency (%)
33663419949	1	< 0.1%
27331126530	1	< 0.1%
27236909900	1	< 0.1%
30569211685	1	< 0.1%
30708415487	1	< 0.1%
30708538317	1	< 0.1%
20082883240	1	< 0.1%
30707882510	1	< 0.1%
20230506060	1	< 0.1%
20141208269	1	< 0.1%
Other values (4994)	4994	99.8%

Most occurring characters

Value	Count	Frequency (%)
2	8786	16.0%
0	8084	14.7%
3	6409	11.7%
7	5715	10.4%
1	5562	10.1%
4	4165	7.6%
6	4137	7.5%
9	4111	7.5%
5	3931	7.2%
8	3880	7.1%
Other values (19)	73	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	54853	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	8786	16.0%
0	8084	14.7%
3	6409	11.7%
7	5715	10.4%
1	5562	10.1%
4	4165	7.6%
6	4137	7.5%
9	4111	7.5%
5	3931	7.2%
8	3880	7.1%
Other values (19)	73	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	54853	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	8786	16.0%
0	8084	14.7%
3	6409	11.7%
7	5715	10.4%
1	5562	10.1%
4	4165	7.6%
6	4137	7.5%
9	4111	7.5%
5	3931	7.2%
8	3880	7.1%
Other values (19)	73	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	54853	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	8786	16.0%
0	8084	14.7%
3	6409	11.7%
7	5715	10.4%
1	5562	10.1%
4	4165	7.6%
6	4137	7.5%
9	4111	7.5%
5	3931	7.2%
8	3880	7.1%
Other values (19)	73	0.1%

Nombre
Text

Distinct	4019
Distinct (%)	80.3%
Missing	0
Missing (%)	0.0%
Memory size	413.4 KiB

Length

Max length	99
Median length	65
Mean length	16.866507
Min length	1

Characters and Unicode

Total characters	84400
Distinct characters	96
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4015 ?
Unique (%)	80.2%

Sample

1st row	EMR VENTAS & SERVICIOS
2nd row	Electricidad Chiclana de R. Santoianni y O.S. Rodriguez
3rd row	YLUM S.A.
4th row	CAROLS SA
5th row	SEGUMAX de HORACIO MIGUEL ESPOSITO

Value	Count	Frequency (%)
sin	984	7.5%
datos	983	7.5%
s.a	391	3.0%
srl	373	2.9%
de	257	2.0%
sa	207	1.6%
s.r.l	183	1.4%
y	164	1.3%
servicios	145	1.1%
del	89	0.7%
Other values (5012)	9285	71.1%

Most occurring characters

Value	Count	Frequency (%)
	8058	9.5%
A	5861	6.9%
E	3977	4.7%
S	3945	4.7%
I	3841	4.6%
R	3818	4.5%
a	3714	4.4%
s	3374	4.0%
i	3215	3.8%
O	3193	3.8%
Other values (86)	41404	49.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	84400	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	8058	9.5%
A	5861	6.9%
E	3977	4.7%
S	3945	4.7%
I	3841	4.6%
R	3818	4.5%
a	3714	4.4%
s	3374	4.0%
i	3215	3.8%
O	3193	3.8%
Other values (86)	41404	49.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	84400	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	8058	9.5%
A	5861	6.9%
E	3977	4.7%
S	3945	4.7%
I	3841	4.6%
R	3818	4.5%
a	3714	4.4%
s	3374	4.0%
i	3215	3.8%
O	3193	3.8%
Other values (86)	41404	49.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	84400	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	8058	9.5%
A	5861	6.9%
E	3977	4.7%
S	3945	4.7%
I	3841	4.6%
R	3818	4.5%
a	3714	4.4%
s	3374	4.0%
i	3215	3.8%
O	3193	3.8%
Other values (86)	41404	49.1%

FechaPreinscripcion
Text

Distinct	1569
Distinct (%)	31.4%
Missing	0
Missing (%)	0.0%
Memory size	366.4 KiB

Length

Max length	10
Median length	10
Mean length	9.9802158
Min length	9

Characters and Unicode

Total characters	49941
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	536 ?
Unique (%)	10.7%

Sample

1st row	04/10/2016
2nd row	18/08/2016
3rd row	24/08/2016
4th row	09/09/2016
5th row	18/10/2016

Value	Count	Frequency (%)
datos	99	1.9%
sin	99	1.9%
17/11/2021	26	0.5%
23/11/2016	17	0.3%
27/12/2016	16	0.3%
06/12/2016	16	0.3%
29/03/2017	15	0.3%
17/11/2016	15	0.3%
27/10/2016	14	0.3%
09/08/2017	14	0.3%
Other values (1560)	4772	93.5%

Most occurring characters

Value	Count	Frequency (%)
0	11247	22.5%
/	9810	19.6%
2	9200	18.4%
1	8460	16.9%
7	2549	5.1%
8	1811	3.6%
6	1519	3.0%
9	1451	2.9%
3	1196	2.4%
5	939	1.9%
Other values (9)	1759	3.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49941	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	11247	22.5%
/	9810	19.6%
2	9200	18.4%
1	8460	16.9%
7	2549	5.1%
8	1811	3.6%
6	1519	3.0%
9	1451	2.9%
3	1196	2.4%
5	939	1.9%
Other values (9)	1759	3.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49941	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	11247	22.5%
/	9810	19.6%
2	9200	18.4%
1	8460	16.9%
7	2549	5.1%
8	1811	3.6%
6	1519	3.0%
9	1451	2.9%
3	1196	2.4%
5	939	1.9%
Other values (9)	1759	3.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49941	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	11247	22.5%
/	9810	19.6%
2	9200	18.4%
1	8460	16.9%
7	2549	5.1%
8	1811	3.6%
6	1519	3.0%
9	1451	2.9%
3	1196	2.4%
5	939	1.9%
Other values (9)	1759	3.5%

Estado
Categorical

High correlation Imbalance Missing

Distinct	7
Distinct (%)	0.1%
Missing	99
Missing (%)	2.0%
Memory size	375.6 KiB

Inscripto	3794
Pre Inscripto	521
Desactualizado doc. vencidos	399
Desactualizado mantención	61
Con Solicitud De Baja	58
Other values (2)	72

Length

Max length	28
Median length	9
Mean length	11.495617
Min length	9

Characters and Unicode

Total characters	56386
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Inscripto
2nd row	Desactualizado doc. vencidos
3rd row	Inscripto
4th row	Inscripto
5th row	Desactualizado doc. vencidos

Common Values

Value	Count	Frequency (%)
Inscripto	3794	75.8%
Pre Inscripto	521	10.4%
Desactualizado doc. vencidos	399	8.0%
Desactualizado mantención	61	1.2%
Con Solicitud De Baja	58	1.2%
Desactualizado Por Clase	56	1.1%
En Evaluacion	16	0.3%
(Missing)	99	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
inscripto	4315	65.5%
pre	521	7.9%
desactualizado	516	7.8%
doc	399	6.1%
vencidos	399	6.1%
mantención	61	0.9%
con	58	0.9%
solicitud	58	0.9%
de	58	0.9%
baja	58	0.9%
Other values (4)	144	2.2%

Most occurring characters

Value	Count	Frequency (%)
o	5817	10.3%
c	5764	10.2%
i	5423	9.6%
s	5286	9.4%
n	4987	8.8%
t	4950	8.8%
r	4892	8.7%
I	4315	7.7%
p	4315	7.7%
a	1813	3.2%
Other values (17)	8824	15.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	56386	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	5817	10.3%
c	5764	10.2%
i	5423	9.6%
s	5286	9.4%
n	4987	8.8%
t	4950	8.8%
r	4892	8.7%
I	4315	7.7%
p	4315	7.7%
a	1813	3.2%
Other values (17)	8824	15.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	56386	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	5817	10.3%
c	5764	10.2%
i	5423	9.6%
s	5286	9.4%
n	4987	8.8%
t	4950	8.8%
r	4892	8.7%
I	4315	7.7%
p	4315	7.7%
a	1813	3.2%
Other values (17)	8824	15.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	56386	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	5817	10.3%
c	5764	10.2%
i	5423	9.6%
s	5286	9.4%
n	4987	8.8%
t	4950	8.8%
r	4892	8.7%
I	4315	7.7%
p	4315	7.7%
a	1813	3.2%
Other values (17)	8824	15.6%

TipoSocietario
Categorical

High correlation Imbalance Missing

Distinct	10
Distinct (%)	0.2%
Missing	99
Missing (%)	2.0%
Memory size	541.5 KiB

Persona Física	3390
Sociedad Anónima	633
S.R.L	578
Otras Formas Societarias	89
PJ Extranjero Sin Sucursal	68
Other values (5)	147

Length

Max length	29
Median length	14
Mean length	13.669317
Min length	5

Characters and Unicode

Total characters	67048
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Persona Física
2nd row	Sociedades De Hecho
3rd row	Sociedad Anónima
4th row	Sociedad Anónima
5th row	Persona Física

Common Values

Value	Count	Frequency (%)
Persona Física	3390	67.7%
Sociedad Anónima	633	12.6%
S.R.L	578	11.6%
Otras Formas Societarias	89	1.8%
PJ Extranjero Sin Sucursal	68	1.4%
Organismo Publico	65	1.3%
Sociedades De Hecho	34	0.7%
Cooperativas	24	0.5%
PF Extranjero No Residente	23	0.5%
Unión Transitoria de Empresas	1	< 0.1%
(Missing)	99	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
persona	3390	35.6%
física	3390	35.6%
sociedad	633	6.7%
anónima	633	6.7%
s.r.l	578	6.1%
extranjero	91	1.0%
formas	89	0.9%
otras	89	0.9%
societarias	89	0.9%
pj	68	0.7%
Other values (14)	465	4.9%

Most occurring characters

Value	Count	Frequency (%)
a	8711	13.0%
s	7264	10.8%
i	5116	7.6%
n	4906	7.3%
	4610	6.9%
o	4562	6.8%
e	4434	6.6%
c	4313	6.4%
r	3999	6.0%
P	3546	5.3%
Other values (29)	15587	23.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	67048	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	8711	13.0%
s	7264	10.8%
i	5116	7.6%
n	4906	7.3%
	4610	6.9%
o	4562	6.8%
e	4434	6.6%
c	4313	6.4%
r	3999	6.0%
P	3546	5.3%
Other values (29)	15587	23.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	67048	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	8711	13.0%
s	7264	10.8%
i	5116	7.6%
n	4906	7.3%
	4610	6.9%
o	4562	6.8%
e	4434	6.6%
c	4313	6.4%
r	3999	6.0%
P	3546	5.3%
Other values (29)	15587	23.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	67048	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	8711	13.0%
s	7264	10.8%
i	5116	7.6%
n	4906	7.3%
	4610	6.9%
o	4562	6.8%
e	4434	6.6%
c	4313	6.4%
r	3999	6.0%
P	3546	5.3%
Other values (29)	15587	23.2%

periodo_preinscripcion
Real number (ℝ)

High correlation Zeros

Distinct	80
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	197839.84

Minimum	0
Maximum	202303
Zeros	99
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	201610
Q1	201704
median	201803
Q3	201911
95-th percentile	202202
Maximum	202303
Range	202303
Interquartile range (IQR)	207

Descriptive statistics

Standard deviation	28110.157
Coefficient of variation (CV)	0.14208542
Kurtosis	45.608806
Mean	197839.84
Median Absolute Deviation (MAD)	101
Skewness	-6.8984538
Sum	9.8999056 × 10⁸
Variance	7.9018095 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
201611	204	4.1%
201706	170	3.4%
201705	167	3.3%
201612	166	3.3%
201701	163	3.3%
201703	159	3.2%
201704	149	3.0%
201708	144	2.9%
201707	143	2.9%
201702	134	2.7%
Other values (70)	3405	68.0%

Value	Count	Frequency (%)
0	99	2.0%
201607	17	0.3%
201608	49	1.0%
201609	42	0.8%
201610	89	1.8%
201611	204	4.1%
201612	166	3.3%
201701	163	3.3%
201702	134	2.7%
201703	159	3.2%

Value	Count	Frequency (%)
202303	1	< 0.1%
202212	1	< 0.1%
202211	6	0.1%
202210	10	0.2%
202209	32	0.6%
202208	38	0.8%
202207	19	0.4%
202206	28	0.6%
202205	35	0.7%
202204	34	0.7%

anio_preinscripcion
Categorical

High correlation

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	337.7 KiB

2017	1619
2018	925
2019	581
2016	567
2021	483
Other values (4)	829

Length

Max length	9
Median length	4
Mean length	4.0989209
Min length	4

Characters and Unicode

Total characters	20511
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	2016
2nd row	2016
3rd row	2016
4th row	2016
5th row	2016

Common Values

Value	Count	Frequency (%)
2017	1619	32.4%
2018	925	18.5%
2019	581	11.6%
2016	567	11.3%
2021	483	9.7%
2020	452	9.0%
2022	277	5.5%
sin datos	99	2.0%
2023	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2017	1619	31.7%
2018	925	18.1%
2019	581	11.4%
2016	567	11.1%
2021	483	9.5%
2020	452	8.9%
2022	277	5.4%
sin	99	1.9%
datos	99	1.9%
2023	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
2	6395	31.2%
0	5357	26.1%
1	4175	20.4%
7	1619	7.9%
8	925	4.5%
9	581	2.8%
6	567	2.8%
s	198	1.0%
i	99	0.5%
n	99	0.5%
Other values (6)	496	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20511	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	6395	31.2%
0	5357	26.1%
1	4175	20.4%
7	1619	7.9%
8	925	4.5%
9	581	2.8%
6	567	2.8%
s	198	1.0%
i	99	0.5%
n	99	0.5%
Other values (6)	496	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20511	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	6395	31.2%
0	5357	26.1%
1	4175	20.4%
7	1619	7.9%
8	925	4.5%
9	581	2.8%
6	567	2.8%
s	198	1.0%
i	99	0.5%
n	99	0.5%
Other values (6)	496	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20511	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	6395	31.2%
0	5357	26.1%
1	4175	20.4%
7	1619	7.9%
8	925	4.5%
9	581	2.8%
6	567	2.8%
s	198	1.0%
i	99	0.5%
n	99	0.5%
Other values (6)	496	2.4%

cant_procesos_adjudicado
Real number (ℝ)

High correlation

Distinct	163
Distinct (%)	3.3%
Missing	23
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	9.6217627

Minimum	1
Maximum	613
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	5
95-th percentile	36
Maximum	613
Range	612
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	35.442247
Coefficient of variation (CV)	3.6835503
Kurtosis	101.00798
Mean	9.6217627
Median Absolute Deviation (MAD)	1
Skewness	8.9673997
Sum	47926
Variance	1256.1529
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	2103	42.0%
2	884	17.7%
3	445	8.9%
4	281	5.6%
5	166	3.3%
6	136	2.7%
7	108	2.2%
8	71	1.4%
9	61	1.2%
11	56	1.1%
Other values (153)	670	13.4%

Value	Count	Frequency (%)
1	2103	42.0%
2	884	17.7%
3	445	8.9%
4	281	5.6%
5	166	3.3%
6	136	2.7%
7	108	2.2%
8	71	1.4%
9	61	1.2%
10	51	1.0%

Value	Count	Frequency (%)
613	1	< 0.1%
590	1	< 0.1%
551	1	< 0.1%
525	1	< 0.1%
468	1	< 0.1%
455	1	< 0.1%
438	1	< 0.1%
417	1	< 0.1%
389	1	< 0.1%
384	1	< 0.1%

monto_total_adjudicado
Real number (ℝ)

High correlation

Distinct	4806
Distinct (%)	96.5%
Missing	23
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	22399144

Minimum	0
Maximum	1.520047 × 10⁹
Zeros	42
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	29502
Q1	406454.55
median	2001829.6
Q3	9635828.5
95-th percentile	92366985
Maximum	1.520047 × 10⁹
Range	1.520047 × 10⁹
Interquartile range (IQR)	9229374

Descriptive statistics

Standard deviation	87195178
Coefficient of variation (CV)	3.8927906
Kurtosis	89.26129
Mean	22399144
Median Absolute Deviation (MAD)	1895103.4
Skewness	8.3896137
Sum	1.1157014 × 10¹¹
Variance	7.602999 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	42	0.8%
6710526.316	7	0.1%
240428.5714	4	0.1%
255000	4	0.1%
40800	4	0.1%
526451.6129	4	0.1%
114750	4	0.1%
85000	4	0.1%
21857.14286	4	0.1%
459000	3	0.1%
Other values (4796)	4901	97.9%
(Missing)	23	0.5%

Value	Count	Frequency (%)
0	42	0.8%
0.010851064	1	< 0.1%
0.056666667	1	< 0.1%
0.80952381	1	< 0.1%
1.65952381	1	< 0.1%
2.487804878	2	< 0.1%
12.648	1	< 0.1%
120.2142857	1	< 0.1%
141.24	1	< 0.1%
154.1027027	1	< 0.1%

Value	Count	Frequency (%)
1520047045	1	< 0.1%
1501157408	1	< 0.1%
1155438067	1	< 0.1%
1061872013	1	< 0.1%
1052539603	1	< 0.1%
1023647402	1	< 0.1%
1006323598	1	< 0.1%
1004124327	1	< 0.1%
1001211883	1	< 0.1%
998054641.4	1	< 0.1%

antiguedad
Real number (ℝ)

High correlation Missing Zeros

Distinct	6
Distinct (%)	0.1%
Missing	99
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.7930683

Minimum	0
Maximum	5
Zeros	761
Zeros (%)	15.2%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.6228238
Coefficient of variation (CV)	0.58101831
Kurtosis	-0.99706376
Mean	2.7930683
Median Absolute Deviation (MAD)	1
Skewness	-0.50252539
Sum	13700
Variance	2.6335572
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	1619	32.4%
3	925	18.5%
0	761	15.2%
2	581	11.6%
5	567	11.3%
1	452	9.0%
(Missing)	99	2.0%

Value	Count	Frequency (%)
0	761	15.2%
1	452	9.0%
2	581	11.6%
3	925	18.5%
4	1619	32.4%
5	567	11.3%

Value	Count	Frequency (%)
5	567	11.3%
4	1619	32.4%
3	925	18.5%
2	581	11.6%
1	452	9.0%
0	761	15.2%

provincia
Categorical

High correlation

Distinct	28
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	371.3 KiB

CABA	1474
Buenos Aires	1288
Córdoba	317
Santa Fe	175
Mendoza	153
Other values (23)	1597

Length

Max length	19
Median length	16
Mean length	7.9426459
Min length	1

Characters and Unicode

Total characters	39745
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Chubut
2nd row	CABA
3rd row	CABA
4th row	CABA
5th row	CABA

Common Values

Value	Count	Frequency (%)
CABA	1474	29.5%
Buenos Aires	1288	25.7%
Córdoba	317	6.3%
Santa Fe	175	3.5%
Mendoza	153	3.1%
Chubut	138	2.8%
sin datos	122	2.4%
Misiones	118	2.4%
Rio Negro	116	2.3%
Entre Rios	96	1.9%
Other values (18)	1007	20.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
caba	1474	20.2%
buenos	1288	17.6%
aires	1288	17.6%
córdoba	317	4.3%
santa	254	3.5%
fe	175	2.4%
mendoza	153	2.1%
chubut	138	1.9%
del	123	1.7%
datos	122	1.7%
Other values (27)	1977	27.0%

Most occurring characters

Value	Count	Frequency (%)
A	4236	10.7%
e	3866	9.7%
s	3380	8.5%
o	2834	7.1%
B	2762	6.9%
n	2529	6.4%
r	2509	6.3%
	2305	5.8%
a	2275	5.7%
C	2201	5.5%
Other values (31)	10848	27.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	39745	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	4236	10.7%
e	3866	9.7%
s	3380	8.5%
o	2834	7.1%
B	2762	6.9%
n	2529	6.4%
r	2509	6.3%
	2305	5.8%
a	2275	5.7%
C	2201	5.5%
Other values (31)	10848	27.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	39745	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	4236	10.7%
e	3866	9.7%
s	3380	8.5%
o	2834	7.1%
B	2762	6.9%
n	2529	6.4%
r	2509	6.3%
	2305	5.8%
a	2275	5.7%
C	2201	5.5%
Other values (31)	10848	27.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	39745	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	4236	10.7%
e	3866	9.7%
s	3380	8.5%
o	2834	7.1%
B	2762	6.9%
n	2529	6.4%
r	2509	6.3%
	2305	5.8%
a	2275	5.7%
C	2201	5.5%
Other values (31)	10848	27.3%

cant_socios
Categorical

High correlation Missing

Distinct	5
Distinct (%)	0.4%
Missing	3577
Missing (%)	71.5%
Memory size	318.3 KiB

1.0	723
2.0	619
3.0	64
4.0	18
5.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4281
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	4.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	723	14.4%
2.0	619	12.4%
3.0	64	1.3%
4.0	18	0.4%
5.0	3	0.1%
(Missing)	3577	71.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	723	50.7%
2.0	619	43.4%
3.0	64	4.5%
4.0	18	1.3%
5.0	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
.	1427	33.3%
0	1427	33.3%
1	723	16.9%
2	619	14.5%
3	64	1.5%
4	18	0.4%
5	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4281	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	1427	33.3%
0	1427	33.3%
1	723	16.9%
2	619	14.5%
3	64	1.5%
4	18	0.4%
5	3	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4281	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	1427	33.3%
0	1427	33.3%
1	723	16.9%
2	619	14.5%
3	64	1.5%
4	18	0.4%
5	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4281	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	1427	33.3%
0	1427	33.3%
1	723	16.9%
2	619	14.5%
3	64	1.5%
4	18	0.4%
5	3	0.1%

cant_apercibimientos
Unsupported

Missing Rejected Unsupported

Missing	5004
Missing (%)	100.0%
Memory size	78.2 KiB

cant_suspensiones
Unsupported

Missing Rejected Unsupported

Missing	5004
Missing (%)	100.0%
Memory size	78.2 KiB

cant_antecedentes
Unsupported

Missing Rejected Unsupported

Missing	5004
Missing (%)	100.0%
Memory size	78.2 KiB

cant_Apoderado
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	0.1%
Missing	222
Missing (%)	4.4%
Memory size	331.4 KiB

1.0	4756
2.0	23
3.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	14346
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4756	95.0%
2.0	23	0.5%
3.0	3	0.1%
(Missing)	222	4.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	4756	99.5%
2.0	23	0.5%
3.0	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
.	4782	33.3%
0	4782	33.3%
1	4756	33.2%
2	23	0.2%
3	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14346	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	4782	33.3%
0	4782	33.3%
1	4756	33.2%
2	23	0.2%
3	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14346	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	4782	33.3%
0	4782	33.3%
1	4756	33.2%
2	23	0.2%
3	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14346	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	4782	33.3%
0	4782	33.3%
1	4756	33.2%
2	23	0.2%
3	3	< 0.1%

cant_representante
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	1.9%
Missing	4849
Missing (%)	96.9%
Memory size	313.4 KiB

1.0	145
2.0	8
3.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	465
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	145	2.9%
2.0	8	0.2%
3.0	2	< 0.1%
(Missing)	4849	96.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	145	93.5%
2.0	8	5.2%
3.0	2	1.3%

Most occurring characters

Value	Count	Frequency (%)
.	155	33.3%
0	155	33.3%
1	145	31.2%
2	8	1.7%
3	2	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	465	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	155	33.3%
0	155	33.3%
1	145	31.2%
2	8	1.7%
3	2	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	465	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	155	33.3%
0	155	33.3%
1	145	31.2%
2	8	1.7%
3	2	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	465	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	155	33.3%
0	155	33.3%
1	145	31.2%
2	8	1.7%
3	2	0.4%

cant_autenticado
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	0.1%
Missing	99
Missing (%)	2.0%
Memory size	331.9 KiB

1.0	4851
2.0	51
3.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	14715
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4851	96.9%
2.0	51	1.0%
3.0	3	0.1%
(Missing)	99	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	4851	98.9%
2.0	51	1.0%
3.0	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
.	4905	33.3%
0	4905	33.3%
1	4851	33.0%
2	51	0.3%
3	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14715	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	4905	33.3%
0	4905	33.3%
1	4851	33.0%
2	51	0.3%
3	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14715	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	4905	33.3%
0	4905	33.3%
1	4851	33.0%
2	51	0.3%
3	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14715	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	4905	33.3%
0	4905	33.3%
1	4851	33.0%
2	51	0.3%
3	3	< 0.1%

cant_noAutenticado
Categorical

Constant Missing

Distinct	1
Distinct (%)	6.2%
Missing	4988
Missing (%)	99.7%
Memory size	312.8 KiB

1.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	48
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	16	0.3%
(Missing)	4988	99.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	16	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	16	33.3%
.	16	33.3%
0	16	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	48	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	16	33.3%
.	16	33.3%
0	16	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	48	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	16	33.3%
.	16	33.3%
0	16	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	48	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	16	33.3%
.	16	33.3%
0	16	33.3%

cant_sinMontoLimite
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	0.1%
Missing	99
Missing (%)	2.0%
Memory size	331.9 KiB

1.0	4839
2.0	59
3.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	14715
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4839	96.7%
2.0	59	1.2%
3.0	7	0.1%
(Missing)	99	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	4839	98.7%
2.0	59	1.2%
3.0	7	0.1%

Most occurring characters

Value	Count	Frequency (%)
.	4905	33.3%
0	4905	33.3%
1	4839	32.9%
2	59	0.4%
3	7	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14715	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	4905	33.3%
0	4905	33.3%
1	4839	32.9%
2	59	0.4%
3	7	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14715	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	4905	33.3%
0	4905	33.3%
1	4839	32.9%
2	59	0.4%
3	7	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14715	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	4905	33.3%
0	4905	33.3%
1	4839	32.9%
2	59	0.4%
3	7	< 0.1%

cant_MontoLimite
Categorical

Constant Missing

Distinct	1
Distinct (%)	100.0%
Missing	5003
Missing (%)	> 99.9%
Memory size	312.8 KiB

1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1	< 0.1%
(Missing)	5003	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

total_articulos_provee
Real number (ℝ)

Missing

Distinct	610
Distinct (%)	12.4%
Missing	99
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.438124

Minimum	1
Maximum	2868
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	78.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	7
Q3	46
95-th percentile	541.6
Maximum	2868
Range	2867
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	213.0623
Coefficient of variation (CV)	2.4649111
Kurtosis	26.533974
Mean	86.438124
Median Absolute Deviation (MAD)	6
Skewness	4.3477348
Sum	423979
Variance	45395.542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1413	28.2%
2	350	7.0%
3	229	4.6%
5	162	3.2%
4	156	3.1%
6	138	2.8%
8	88	1.8%
7	86	1.7%
9	77	1.5%
10	68	1.4%
Other values (600)	2138	42.7%
(Missing)	99	2.0%

Value	Count	Frequency (%)
1	1413	28.2%
2	350	7.0%
3	229	4.6%
4	156	3.1%
5	162	3.2%
6	138	2.8%
7	86	1.7%
8	88	1.8%
9	77	1.5%
10	68	1.4%

Value	Count	Frequency (%)
2868	1	< 0.1%
2339	1	< 0.1%
2330	1	< 0.1%
2189	1	< 0.1%
1935	1	< 0.1%
1742	1	< 0.1%
1732	1	< 0.1%
1715	1	< 0.1%
1699	1	< 0.1%
1681	1	< 0.1%

dmonto_total_adjudicado
Categorical

Distinct	21
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	418.0 KiB

(377.939- 599.760]	319
(33.011- 104.767]	316
(104.767- 224.078]	315
(1.302.657- 1.793.326]	308
(224.078- 377.939]	306
Other values (16)	3440

Length

Max length	29
Median length	25
Mean length	20.546163
Min length	3

Characters and Unicode

Total characters	102813
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(9.424.898- 13.557.176]
2nd row	(4.727.330- 6.702.697]
3rd row	(46.718.747- 89.439.449]
4th row	(46.718.747- 89.439.449]
5th row	(890.758- 1.302.657]

Common Values

Value	Count	Frequency (%)
(377.939- 599.760]	319	6.4%
(33.011- 104.767]	316	6.3%
(104.767- 224.078]	315	6.3%
(1.302.657- 1.793.326]	308	6.2%
(224.078- 377.939]	306	6.1%
(890.758- 1.302.657]	303	6.1%
(599.760- 890.758]	284	5.7%
(1.793.326- 2.483.085]	282	5.6%
(2.483.085- 3.396.600]	274	5.5%
(-0- 33.011]	272	5.4%
Other values (11)	2025	40.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
104.767	631	6.3%
377.939	625	6.3%
224.078	621	6.2%
1.302.657	611	6.1%
599.760	603	6.0%
1.793.326	590	5.9%
33.011	588	5.9%
890.758	587	5.9%
2.483.085	556	5.6%
3.396.600	529	5.3%
Other values (12)	4044	40.5%

Most occurring characters

Value	Count	Frequency (%)
.	15830	15.4%
7	10242	10.0%
3	8402	8.2%
9	8317	8.1%
0	7020	6.8%
6	6021	5.9%
1	5810	5.7%
2	5765	5.6%
4	5736	5.6%
-	5253	5.1%
Other values (7)	24417	23.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	102813	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	15830	15.4%
7	10242	10.0%
3	8402	8.2%
9	8317	8.1%
0	7020	6.8%
6	6021	5.9%
1	5810	5.7%
2	5765	5.6%
4	5736	5.6%
-	5253	5.1%
Other values (7)	24417	23.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	102813	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	15830	15.4%
7	10242	10.0%
3	8402	8.2%
9	8317	8.1%
0	7020	6.8%
6	6021	5.9%
1	5810	5.7%
2	5765	5.6%
4	5736	5.6%
-	5253	5.1%
Other values (7)	24417	23.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	102813	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	15830	15.4%
7	10242	10.0%
3	8402	8.2%
9	8317	8.1%
0	7020	6.8%
6	6021	5.9%
1	5810	5.7%
2	5765	5.6%
4	5736	5.6%
-	5253	5.1%
Other values (7)	24417	23.7%

dcant_procesos_adjudicado
Categorical

Distinct	10
Distinct (%)	0.2%
Missing	23
Missing (%)	0.5%
Memory size	373.9 KiB

(0.999, 2.0]	2987
(2.0, 3.0]	445
(3.0, 4.0]	281
(39.0, 1214.0]	223
(8.0, 12.0]	202
Other values (5)	843

Length

Max length	14
Median length	12
Mean length	11.564345
Min length	10

Characters and Unicode

Total characters	57602
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(39.0, 1214.0]
2nd row	(6.0, 8.0]
3rd row	(39.0, 1214.0]
4th row	(19.0, 39.0]
5th row	(0.999, 2.0]

Common Values

Value	Count	Frequency (%)
(0.999, 2.0]	2987	59.7%
(2.0, 3.0]	445	8.9%
(3.0, 4.0]	281	5.6%
(39.0, 1214.0]	223	4.5%
(8.0, 12.0]	202	4.0%
(19.0, 39.0]	186	3.7%
(6.0, 8.0]	179	3.6%
(12.0, 19.0]	176	3.5%
(4.0, 5.0]	166	3.3%
(5.0, 6.0]	136	2.7%
(Missing)	23	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	3432	34.5%
0.999	2987	30.0%
3.0	726	7.3%
4.0	447	4.5%
39.0	409	4.1%
8.0	381	3.8%
12.0	378	3.8%
19.0	362	3.6%
6.0	315	3.2%
5.0	302	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	9962	17.3%
.	9962	17.3%
9	9732	16.9%
(	4981	8.6%
,	4981	8.6%
	4981	8.6%
]	4981	8.6%
2	4033	7.0%
1	1186	2.1%
3	1135	2.0%
Other values (4)	1668	2.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	57602	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	9962	17.3%
.	9962	17.3%
9	9732	16.9%
(	4981	8.6%
,	4981	8.6%
	4981	8.6%
]	4981	8.6%
2	4033	7.0%
1	1186	2.1%
3	1135	2.0%
Other values (4)	1668	2.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	57602	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	9962	17.3%
.	9962	17.3%
9	9732	16.9%
(	4981	8.6%
,	4981	8.6%
	4981	8.6%
]	4981	8.6%
2	4033	7.0%
1	1186	2.1%
3	1135	2.0%
Other values (4)	1668	2.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	57602	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	9962	17.3%
.	9962	17.3%
9	9732	16.9%
(	4981	8.6%
,	4981	8.6%
	4981	8.6%
]	4981	8.6%
2	4033	7.0%
1	1186	2.1%
3	1135	2.0%
Other values (4)	1668	2.9%

dtotal_articulos_provee
Categorical

High correlation Missing

Distinct	15
Distinct (%)	0.3%
Missing	99
Missing (%)	2.0%
Memory size	375.1 KiB

(0.999, 2.0]	1763
(345.0, 6993.0]	400
(4.0, 6.0]	300
(161.0, 345.0]	274
(2.0, 3.0]	229
Other values (10)	1939

Length

Max length	15
Median length	12
Mean length	12.009378
Min length	10

Characters and Unicode

Total characters	58906
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(58.0, 97.6]
2nd row	(161.0, 345.0]
3rd row	(58.0, 97.6]
4th row	(58.0, 97.6]
5th row	(161.0, 345.0]

Common Values

Value	Count	Frequency (%)
(0.999, 2.0]	1763	35.2%
(345.0, 6993.0]	400	8.0%
(4.0, 6.0]	300	6.0%
(161.0, 345.0]	274	5.5%
(2.0, 3.0]	229	4.6%
(97.6, 161.0]	229	4.6%
(8.0, 11.0]	213	4.3%
(40.0, 58.0]	208	4.2%
(58.0, 97.6]	200	4.0%
(15.0, 21.0]	195	3.9%
Other values (5)	894	17.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2.0	1992	20.3%
0.999	1763	18.0%
345.0	674	6.9%
161.0	503	5.1%
6.0	474	4.8%
4.0	456	4.6%
97.6	429	4.4%
58.0	408	4.2%
40.0	401	4.1%
6993.0	400	4.1%
Other values (6)	2310	23.5%

Most occurring characters

Value	Count	Frequency (%)
.	9810	16.7%
0	9782	16.6%
9	6897	11.7%
(	4905	8.3%
,	4905	8.3%
	4905	8.3%
]	4905	8.3%
2	2752	4.7%
1	2563	4.4%
6	1806	3.1%
Other values (5)	5676	9.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58906	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	9810	16.7%
0	9782	16.6%
9	6897	11.7%
(	4905	8.3%
,	4905	8.3%
	4905	8.3%
]	4905	8.3%
2	2752	4.7%
1	2563	4.4%
6	1806	3.1%
Other values (5)	5676	9.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58906	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	9810	16.7%
0	9782	16.6%
9	6897	11.7%
(	4905	8.3%
,	4905	8.3%
	4905	8.3%
]	4905	8.3%
2	2752	4.7%
1	2563	4.4%
6	1806	3.1%
Other values (5)	5676	9.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58906	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	9810	16.7%
0	9782	16.6%
9	6897	11.7%
(	4905	8.3%
,	4905	8.3%
	4905	8.3%
]	4905	8.3%
2	2752	4.7%
1	2563	4.4%
6	1806	3.1%
Other values (5)	5676	9.6%

Cluster_6
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	322.5 KiB

6	5004

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	5004
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	6
2nd row	6
3rd row	6
4th row	6
5th row	6

Common Values

Value	Count	Frequency (%)
6	5004	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
6	5004	100.0%

Most occurring characters

Value	Count	Frequency (%)
6	5004	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5004	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
6	5004	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5004	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
6	5004	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5004	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
6	5004	100.0%

Interactions

Correlations

	Estado	TipoSocietario	anio_preinscripcion	antiguedad	cant_Apoderado	cant_autenticado	cant_procesos_adjudicado	cant_representante	cant_sinMontoLimite	cant_socios	dcant_procesos_adjudicado	dmonto_total_adjudicado	dtotal_articulos_provee	monto_total_adjudicado	periodo_preinscripcion	provincia	total_articulos_provee
Estado	1.000	0.182	0.122	0.129	0.048	0.038	0.000	0.000	0.045	0.092	0.122	0.145	0.152	0.033	1.000	0.168	0.057
TipoSocietario	0.182	1.000	0.093	0.111	0.026	0.111	0.016	0.000	0.107	0.173	0.060	0.213	0.084	0.116	1.000	0.348	0.041
anio_preinscripcion	0.122	0.093	1.000	1.000	0.040	0.016	0.071	0.000	0.034	0.097	0.126	0.109	0.073	0.047	0.999	0.327	0.046
antiguedad	0.129	0.111	1.000	1.000	0.045	0.026	0.308	0.000	0.040	0.092	0.158	0.120	0.088	0.109	-0.975	0.110	0.179
cant_Apoderado	0.048	0.026	0.040	0.045	1.000	0.406	0.149	1.000	0.710	0.200	0.114	0.081	0.149	0.161	1.000	0.000	0.294
cant_autenticado	0.038	0.111	0.016	0.026	0.406	1.000	0.120	0.625	0.776	0.117	0.128	0.054	0.191	0.119	1.000	0.000	0.221
cant_procesos_adjudicado	0.000	0.016	0.071	0.308	0.149	0.120	1.000	0.000	0.186	0.096	0.262	0.142	0.084	0.566	-0.293	0.000	0.379
cant_representante	0.000	0.000	0.000	0.000	1.000	0.625	0.000	1.000	0.567	0.226	0.301	0.000	0.000	0.000	1.000	0.000	0.073
cant_sinMontoLimite	0.045	0.107	0.034	0.040	0.710	0.776	0.186	0.567	1.000	0.100	0.142	0.089	0.211	0.134	1.000	0.000	0.277
cant_socios	0.092	0.173	0.097	0.092	0.200	0.117	0.096	0.226	0.100	1.000	0.053	0.075	0.096	0.124	1.000	0.120	0.095
dcant_procesos_adjudicado	0.122	0.060	0.126	0.158	0.114	0.128	0.262	0.301	0.142	0.053	1.000	0.223	0.149	0.107	0.071	0.061	0.119
dmonto_total_adjudicado	0.145	0.213	0.109	0.120	0.081	0.054	0.142	0.000	0.089	0.075	0.223	1.000	0.066	0.351	0.143	0.103	0.074
dtotal_articulos_provee	0.152	0.084	0.073	0.088	0.149	0.191	0.084	0.000	0.211	0.096	0.149	0.066	1.000	0.056	1.000	0.037	0.318
monto_total_adjudicado	0.033	0.116	0.047	0.109	0.161	0.119	0.566	0.000	0.134	0.124	0.107	0.351	0.056	1.000	-0.100	0.000	0.184
periodo_preinscripcion	1.000	1.000	0.999	-0.975	1.000	1.000	-0.293	1.000	1.000	1.000	0.071	0.143	1.000	-0.100	1.000	0.896	-0.185
provincia	0.168	0.348	0.327	0.110	0.000	0.000	0.000	0.000	0.000	0.120	0.061	0.103	0.037	0.000	0.896	1.000	0.000
total_articulos_provee	0.057	0.041	0.046	0.179	0.294	0.221	0.379	0.073	0.277	0.095	0.119	0.074	0.318	0.184	-0.185	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	periodo_preinscripcion	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	dmonto_total_adjudicado	dcant_procesos_adjudicado	dtotal_articulos_provee	Cluster_6
0	27236909900	EMR VENTAS & SERVICIOS	04/10/2016	Inscripto	Persona Física	201610	2016	68.0	1.069618e+07	5.0	Chubut	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	68.0	(9.424.898- 13.557.176]	(39.0, 1214.0]	(58.0, 97.6]	6
1	30569211685	Electricidad Chiclana de R. Santoianni y O.S. Rodriguez	18/08/2016	Desactualizado doc. vencidos	Sociedades De Hecho	201608	2016	7.0	4.975162e+06	5.0	CABA	1.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	330.0	(4.727.330- 6.702.697]	(6.0, 8.0]	(161.0, 345.0]	6
3	30708415487	YLUM S.A.	24/08/2016	Inscripto	Sociedad Anónima	201608	2016	111.0	5.959313e+07	5.0	CABA	1.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	83.0	(46.718.747- 89.439.449]	(39.0, 1214.0]	(58.0, 97.6]	6
6	30708538317	CAROLS SA	09/09/2016	Inscripto	Sociedad Anónima	201609	2016	33.0	7.614297e+07	5.0	CABA	2.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	92.0	(46.718.747- 89.439.449]	(19.0, 39.0]	(58.0, 97.6]	6
9	20082883240	SEGUMAX de HORACIO MIGUEL ESPOSITO	18/10/2016	Desactualizado doc. vencidos	Persona Física	201610	2016	2.0	1.216063e+06	5.0	CABA	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	263.0	(890.758- 1.302.657]	(0.999, 2.0]	(161.0, 345.0]	6
11	30707882510	SABADO URSI S.A.	20/09/2016	Inscripto	Sociedad Anónima	201609	2016	80.0	5.823704e+08	5.0	CABA	4.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	64.0	(222.964.579- 46.172.150.151]	(39.0, 1214.0]	(58.0, 97.6]	6
13	20230506060	sin datos	15/08/2016	Inscripto	Persona Física	201608	2016	12.0	1.209260e+08	5.0	CABA	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	5.0	(89.439.449- 222.964.579]	(8.0, 12.0]	(4.0, 6.0]	6
16	20141208269	sin datos	23/09/2016	Inscripto	Persona Física	201609	2016	1.0	6.407980e+05	5.0	CABA	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	16.0	(599.760- 890.758]	(0.999, 2.0]	(15.0, 21.0]	6
20	30596555655	COAMTRA S.A.	16/11/2016	Desactualizado doc. vencidos	Sociedad Anónima	201611	2016	1.0	5.669606e+05	5.0	Buenos Aires	1.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	1.0	(377.939- 599.760]	(0.999, 2.0]	(0.999, 2.0]	6
21	30686199017	MEKANO SRL	16/11/2016	Inscripto	S.R.L	201611	2016	5.0	1.152604e+07	5.0	CABA	2.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	11.0	(9.424.898- 13.557.176]	(4.0, 5.0]	(8.0, 11.0]	6

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	periodo_preinscripcion	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	dmonto_total_adjudicado	dcant_procesos_adjudicado	dtotal_articulos_provee	Cluster_6
10058	20385356243	DIAZ JONATAN MACIEL	13/09/2022	Inscripto	Persona Física	202209	2022	1.0	5.666667e+05	0.0	Chubut	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	1.0	(377.939- 599.760]	(0.999, 2.0]	(0.999, 2.0]	6
10059	20322310944	E.F.R.	26/08/2022	Inscripto	Persona Física	202208	2022	1.0	4.047619e+05	0.0	Jujuy	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	253.0	(377.939- 599.760]	(0.999, 2.0]	(161.0, 345.0]	6
10063	24925253304	ALBERTO FREDY MARTIN	15/02/2021	Inscripto	Persona Física	202102	2021	1.0	1.398857e+06	0.0	Buenos Aires	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	29.0	(1.302.657- 1.793.326]	(0.999, 2.0]	(21.0, 29.0]	6
10065	20328156742	M&M	01/09/2022	Inscripto	Persona Física	202209	2022	1.0	0.000000e+00	0.0	Corrientes	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	1.0	(-0- 33.011]	(0.999, 2.0]	(0.999, 2.0]	6
10067	20171591563	BIOTECNIKA	16/06/2022	Inscripto	Persona Física	202206	2022	1.0	2.986090e+06	0.0	Buenos Aires	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	22.0	(2.483.085- 3.396.600]	(0.999, 2.0]	(21.0, 29.0]	6
10068	20293290416	ELIAS MARTIN SEGURA	26/08/2022	Inscripto	Persona Física	202208	2022	1.0	1.873469e+05	0.0	CABA	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	1.0	(104.767- 224.078]	(0.999, 2.0]	(0.999, 2.0]	6
10069	20240423759	FEDERICO MARTIN NUÑEZ	26/08/2022	Inscripto	Persona Física	202208	2022	1.0	3.226531e+05	0.0	CABA	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	1.0	(224.078- 377.939]	(0.999, 2.0]	(0.999, 2.0]	6
10071	20287286687	LAZARTE MARIO	03/08/2022	Inscripto	Persona Física	202208	2022	1.0	5.792102e+06	0.0	Buenos Aires	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	1.0	(4.727.330- 6.702.697]	(0.999, 2.0]	(0.999, 2.0]	6
10074	30716441098	LISTOS PARA RODAR SAS	16/08/2019	Inscripto	Otras Formas Societarias	201908	2019	1.0	1.196939e+05	2.0	CABA	2.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	19.0	(104.767- 224.078]	(0.999, 2.0]	(15.0, 21.0]	6
10075	27331126530	sin datos	18/08/2022	Inscripto	Persona Física	202208	2022	1.0	9.367347e+04	0.0	CABA	NaN	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	4.0	(33.011- 104.767]	(0.999, 2.0]	(3.0, 4.0]	6

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)